Este1le

hpo_nmt

Datasets for Hyperparameter Optimization of Neural Machine Translation

curriculum_learning_scores

Score sentences by different features for the use of curriculum learning for machine translation task.

clean_with_moses

Clean parallel corpus with moses.

gbopt

The graph-based optimization.

slr_handshape

Handshape-aware sign language recognition.

2017-hare-and-hounds

AD_Prediction

Alzheimer's Disease Prediction by using ResNet, AlexNet

attnvis

Minimal Interactive Attention Visualization

Auto-tuning

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

gbssl

Graph-Based Semi-Supervised Learning Algorithms

george

Fast and flexible Gaussian Process regression in Python

GGP

Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

Machine-Translation

Fall 2017 Machine Translation

ngram_generator

Generate ngrams based on pointwise mutual information.

nparam

Calculate the number of model parameters given hyper-parameter settings.

RoBO

RoBO: a Robust Bayesian Optimization framework

SLRT

slt

Sign Language Transformers (CVPR'20)

sockeye

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

sockeye-recipes

Training scripts and recipes for Sockeye Neural Machine Translation toolkit

SportsPartner

study_resource

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

tutorials

机器学习相关教程

vision

Datasets, Transforms and Models specific to Computer Vision

ViViT-pytorch

Implementation of ViViT: A Video Vision Transformer